34 results about "Resource pricing" patented technology

The invention discloses a log analysis service method characterized by charging according to cloud service resources. The method comprises the following steps of (1) pricing cloud service resources including at least one of the bandwidth, the storage time and the storage capacity; (2) and limiting the log analysis service of a user when the cloud service resources used by the user exceed a set standard. The log analysis service method characterized by charging according to cloud service resources makes very flexible charging means realized. Different popularization stages of various log cloud services can be flexibly used. For example, a traffic packet means can be used for allowing users.

The invention discloses a method and apparatus for dynamically regulating pricing on a data inquiry operation. The method comprises: when detecting that distributed resource information of computing resources is changed, acquiring the distributed resource information of each type of computing resources in different time periods; acquiring fixed parameter information of each type of computing resources, wherein the fixed parameter information comprises total resource information of each type of computing resources in different time periods, lowest price information of each type of computing resources in different time periods and highest price information of each type of computing resources in different time periods; according to predetermined computing resource pricing regulating rules, the distributed resource information and the fixed parameter information, regulating pricing information of each type of computing resources in different time periods. Visibly, in the embodiment, the distribution condition of the computing resources is considered, and according to the distributed resource information of each type of resources in different time periods, pricing on the data inquiry operation is dynamically regulated, so that the data inquiry operation is more reasonably priced.

The embodiment of the invention provides a billing method, an analysis center and a billing center. The billing method includes the steps that the analysis center inquires the zone corresponding to each lessee and the usable area, corresponding to the lessee, in each zone according to the mark of each lessee, at least one usable area corresponding to each lessee is obtained, the project corresponding to each lessee is inquired according to the mark of the lessee, the resource information of resources used by each lessee are inquired under the usable areas corresponding to the lessee, and the use amounts of the resources are counted; finally, the resource use information of each lessee is obtained, a resource use statistic summary table is generated and sent to the billing center, and the billing center obtains the resource use information of each lessee according to the resource use statistic summary table, and determines the expenses of each lessee according to a resource price list and the resource use information of the lessee. The use of various cloud service resources can be billed in a mixed mode, and multiple cloud platforms in the multiple zones can be billed in a mixed mode.

The invention discloses a statistical analysis method for cloud computing resource pricing, comprising the following steps: step 1, given a resource instance of a new cloud service provider, and collecting cloud computing instances in the current market; step 2, counting The probability distribution of all current instances in different price ranges; step 3, standardize the data of current instances and new instances, and classify the current instances and new instances, and select the current instance in the same category as the new instance as the new instance Similar instances; step 4, obtain the initial market share of similar instances, and establish a user transition probability matrix, and use the Markov chain method to calculate the short-term market share and final market share of similar instances; step 5, calculate the price and probability of similar instances Distribution and market share, calculate the price of new instances.

The invention discloses a multi-dimensional resource pricing method in a mobile cloud computing environment based on a bilateral market. The method runs in the mobile cloud computing environment, the method involves two groups of participants in the mobile cloud computing environment, one group of participants are Cloudlets which have resources, and the other group of participants are VMs which request the resources. The VMs are regarded as a buyer in a bilateral market economic model, the Cloudlets are regarded as a seller, and the two sides complete allocation of the resources through a price interactive mechanism, unloading execution of an application request from the VMs to the Cloudlets is completed, and energy consumption of the mobile equipment is reduced. The price interactive mechanism in the method is based on a bilateral market game and is designed through combination of a punishment pricing mechanism and a balanced utility discount, the multi-dimensional resources of the application request of a mobile user can be reasonably distributed and dispatched on a plurality of Cloudlets, and therefore system benefits of a mobile cloud are maximized.

The invention relates to an augmented Lagrangian-based resource consultation mechanism in MANETs (mobile ad hoc networks). The augmented Lagrangian-based resource consultation mechanism includes breaking down the ubiquitous service of a system optimization and balance framework, composed of multi-user and a network, into multiple atomic services; defining agents of various types, establishing and solving a resource pricing model; describing the information intersection in the resource market through the augmented Lagrangian-based resource consultation mechanism. By the use of the augmented Lagrangian-based resource consultation mechanism, user and network benefits can be comprehensively considered, and at the premise of the limited resource, maximum benefits of the whole network is achieved while the serve quality is ensured; multi-user benefits are balanced under the competitive environment, increasing of some user benefits never causes decreasing of other user benefits, with an iterative process, buyer bidding and seller offering are constantly adjusted, and the optimal resource allocation is achieved under the adjustment and control of the resource market.